System and method using augmented reality for efficient collection of training data for machine learning
One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first...
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creator | Gavai, Gaurang R Shreve, Matthew A Sun, Jin Eldardiry, Hoda M. A Kallur Palli Kumar, Sricharan Price, Robert R |
description | One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object. |
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A ; Kallur Palli Kumar, Sricharan ; Price, Robert R</creator><creatorcontrib>Gavai, Gaurang R ; Shreve, Matthew A ; Sun, Jin ; Eldardiry, Hoda M. A ; Kallur Palli Kumar, Sricharan ; Price, Robert R</creatorcontrib><description>One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. 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A</creatorcontrib><creatorcontrib>Kallur Palli Kumar, Sricharan</creatorcontrib><creatorcontrib>Price, Robert R</creatorcontrib><title>System and method using augmented reality for efficient collection of training data for machine learning</title><description>One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0EKwjAQRbtxIeodxgMIbVW6VxT31XUZkkk7kExKMl309lrxAK4-vPf-uhjaOSsFQLEQSIdoYcosPeDUBxIlC4nQs87gYgJyjg1_OJjoPRnlKBAdaEKW5WZR8VsGNAMLgSdMi9kWK4c-0-63m2J_vz2vjwONsaM8oiEh7V5tVdVleTo3l_r4T_MGHkNAlQ</recordid><startdate>20211214</startdate><enddate>20211214</enddate><creator>Gavai, Gaurang R</creator><creator>Shreve, Matthew A</creator><creator>Sun, Jin</creator><creator>Eldardiry, Hoda M. A</creator><creator>Kallur Palli Kumar, Sricharan</creator><creator>Price, Robert R</creator><scope>EVB</scope></search><sort><creationdate>20211214</creationdate><title>System and method using augmented reality for efficient collection of training data for machine learning</title><author>Gavai, Gaurang R ; Shreve, Matthew A ; Sun, Jin ; Eldardiry, Hoda M. A ; Kallur Palli Kumar, Sricharan ; Price, Robert R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11200457B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Gavai, Gaurang R</creatorcontrib><creatorcontrib>Shreve, Matthew A</creatorcontrib><creatorcontrib>Sun, Jin</creatorcontrib><creatorcontrib>Eldardiry, Hoda M. A</creatorcontrib><creatorcontrib>Kallur Palli Kumar, Sricharan</creatorcontrib><creatorcontrib>Price, Robert R</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gavai, Gaurang R</au><au>Shreve, Matthew A</au><au>Sun, Jin</au><au>Eldardiry, Hoda M. A</au><au>Kallur Palli Kumar, Sricharan</au><au>Price, Robert R</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and method using augmented reality for efficient collection of training data for machine learning</title><date>2021-12-14</date><risdate>2021</risdate><abstract>One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | System and method using augmented reality for efficient collection of training data for machine learning |
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